Machine Learning Scientist – Sequence Modelling

Relation
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teamwork","Collaboration","Problem-solving","Presentation"]

Machine Learning Scientist in the Rosalind team applying sequence modelling to DNA and genetic data, collaborating with computational and experimental scientists to develop ML-driven hypotheses, train and evaluate DNA sequence models, and advance representation learning for genomics to support drug discovery in a leading TechBio setting in London.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Relation
Relation
5 months ago

Machine Learning Scientist – Sequence Modelling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Machine Learning Scientist in the Rosalind team applying sequence modelling to DNA and genetic data, collaborating with computational and experimental scientists to develop ML-driven hypotheses, train and evaluate DNA sequence models, and advance representation learning for genomics to support drug discovery in a leading TechBio setting in London.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and apply sequence modelling machine learning techniques to DNA sequences
  • •Train, fine-tune and evaluate DNA sequence models for tasks including variant interpretation, gene discovery and regulatory modelling
  • •Collaborate with computational and experimental scientists to generate and validate ML-driven hypotheses
  • •Leverage large-scale external and internal datasets to build and adapt models for disease-focused applications
  • •Design robust evaluations to measure model quality, biological relevance and translational value

Key Requirements

  • •PhD in machine learning, computational biology, or a related field, or equivalent industrial experience
  • •Demonstrated experience applying machine learning techniques to biological sequences or text
  • •Proficiency in Python and at least one ML platform (e.g. PyTorch, TensorFlow)
  • •Experience applying ML to DNA sequences or related genomic data
  • •Ability to work at the intersection of biology and machine learning and to collaborate with interdisciplinary teams
Experience:GenomicsBioinformaticsBiotechDrug discovery
Education:PhD / Doctorate in Machine Learning / Computational Biology
Skills:CommunicationTeamworkCollaborationProblem-solvingPresentation
Tech Stack:PythonPyTorchTensorFlowDNA sequencingGenomics

Company Brief

Relation
Relation (Relation Therapeutics) is a UK-based, technology-enabled biopharmaceutical company that combines single-cell multi-omics, patient-derived tissue, functional assays and machine learning to discover and develop novel therapeutics across immunology, metabolic and bone diseases.
Industry: Biotech
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: USD 100M to 250M
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2019
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor